marketing data engineer

CNTXT AI

<div>
 
 About Munsit AI
 
 
 Munsit AI is building AI-powered products that transform how businesses create, collaborate, and scale. We're looking for a data-driven Web/Growth Engineer who combines strong software engineering skills with a growth mindset to optimise user acquisition, activation, engagement, and conversion across our digital products.
 
 
 Role Overview
 
 
 As a Web/Growth Engineer, you'll bridge engineering, marketing, and product to build high-performing web experiences that drive measurable business growth. You'll own experimentation, landing page development, analytics implementation, SEO improvements, and conversion optimization while ensuring exceptional performance and user experience.
 
 
 Key Responsibilities
 
 <ul>
 <li>
 
 Build, maintain, and optimize high-converting marketing websites and landing pages.
 
 </li>
 <li>
 
 Develop scalable frontend experiences using modern JavaScript frameworks.
 
 </li>
 <li>
 
 Design and implement A/B tests and growth experiments to improve conversion rates.
 
 </li>
 <li>
 
 Collaborate with Product, Design, and Marketing teams to rapidly launch campaigns and features.
 
 </li>
 <li>
 
 Optimize website performance, Core Web Vitals, and overall user experience.
 
 </li>
 <li>
 
 Implement analytics, event tracking, and conversion measurement across web properties.
 
 </li>
 <li>
 
 Improve technical SEO, site architecture, structured data, and page indexing.
 
 </li>
 <li>
 
 Integrate CRM, marketing automation, and third-party growth tools.
 
 </li>
 <li>
 
 Monitor user behavior using analytics and session recording tools to identify optimization opportunities.
 
 </li>
 <li>
 
 Automate growth workflows and improve marketing operations through engineering solutions.
 
 </li>
 <li>
 
 Ensure websites are secure, responsive, accessible, and scalable.
 
 
 
 </li>
 </ul>
 
 Requirements
 
 <ul>
 <li>
 
 Bachelor's degree in Computer Science, Software Engineering, or a related field.
 
 </li>
 <li>
 
 5+ years of relevant experience.
 
 </li>
 <li>
 
 Strong proficiency in JavaScript/TypeScript.
 
 </li>
 <li>
 
 Experience with React, Next.js, or similar modern frontend frameworks.
 
 </li>
 <li>
 
 Experience implementing analytics tools such as Google Analytics 4, Mixpanel, Amplitude, or PostHog.
 
 </li>
 <li>
 
 Hands-on experience with A/B testing platforms and experimentation frameworks.
 
 </li>
 <li>
 
 Understanding of SEO best practices, technical SEO, and Core Web Vitals.
 
 </li>
 <li>
 
 Familiarity with REST APIs, GraphQL, and third-party integrations.
 
 </li>
 <li>
 
 Strong problem-solving skills with a data-driven approach to decision-making.
 
 
 
 </li>
 </ul>
</div>

Web/Growth Engineer

Etisalat

<div><div>Capacity Planning Senior Engineer - (26000197)</div><div>
Description<div></div> 
Job Purpose
P&amp;S Architecture and Capacity Planning to ensure full execution of product &amp; Services yearly plan with high quality &amp; best time to market
Report To Position Name
Ensuring sufficient system capacity for all required products and services Providing Advice for Enhancement of customer experience. Assessing Marketing requirements and network requirements for introducing new product/service. Follow up &amp; Secure full execution of marketing yearly plan. Development and Execution of projects to support technical strategic plans (including upgrade plans, new features, develop architecture) Review capacity versus traffic to make sure that design rules are compliant. Ensure customer satisfaction through improving the quality and system effectiveness. Continuous follow up on KPIs for all running systems Develop RFP/RFQ for VAS investments in alignment with company strategy. Preparing Committees reports including vendor evaluation and providing the best recommendation to the Top Management to support in decision Taking Running the business in conformance with company security policies Set up and operate framework to measure and report Product &amp; Service with continuous follow up on KPIs and KQIs for launched P&amp;S. Lead Product &amp; Services project management methodologies across the Technical department, and introduce comprehensive KPIs to cover different reporting levels. Plan for Projects to produce the project scope statement, Work Breakdown Structure, Activity list, project schedule, project quality management plan, project organization structure, project communication plan, project Risk management.<div> 
</div></div><div>
Qualifications<div></div> 
QUALIFICATIONS_ESSENTIAL
B.Sc. in Engineering communications or computer science Excellent knowledge in the telecommunication technologies, Data Network, Messaging and Voice Technologies. Operating Systems (Linux), Data Base, TCP/IP and SS7 Signaling. Special requirements: Additional technical competence in VAS systems Architecture. Excellent Computer skills, Advanced MS excel is required. Excellent in Arabic &amp; English (Reading, Writing &amp; Oral).
QUALIFICATIONS_DESIRABLE 
EXPERIENCE_ESSENTIAL
Minimum of 4 years of experience in the Telecommunication Field.
EXPERIENCE_DESIRABLE 
CERTIFICATIONS_ESSENTIAL<div> 
</div></div><div>
Job: Sr. Engineer</div><div>
Organization: Etisalat Global Services</div><div>
 Entry Level</div><div>
Job Posting: 29/Jul/2026, 7:29:52 AM</div></div>

Capacity Planning Senior Engineer

Curative, Inc.

<div><div>About Curative</div><div> 
Curative is building the future of health insurance with a first-of-its-kind employer-based plan designed to remove financial barriers and make care truly accessible: one monthly premium with $0 copays and $0 deductibles*. Backed by our recent $150M in Series B funding and valuation at $1.275B, Curative is scaling rapidly and investing in AI-powered service, deeper member engagement, and a smart network designed for today&rsquo;s workforce.</div><div></div><div> 
Our north star guides everything we do: healthcare only works when people can actually use it. That belief drives every decision we make: from how we design our plan, support our members, to how we collaborate as a team.</div><div></div><div> 
If you want to do meaningful work with a team that moves fast, experiments boldly, and cares deeply, Curative is the place to do it. We&rsquo;re growing fast and looking for teammates who want to help transform health insurance for the better.</div><div></div> 
Summary
We are hiring a forward deployed software engineer to be the technical owner of our growth platform: the software that turns a stranger on curative.com into a bound group. That is one funnel, and you own all of it: the public marketing site and the CMS the marketing team publishes from, the forms and tracking that capture a lead, and the underwriting and quoting system that turns an employer&rsquo;s RFP into 
a priced proposal and a closed deal. You will sit at the intersection of engineering, marketing, and sales. You will be embedded with the 
people who use the software, not insulated from them. You will join the marketing team&rsquo;s planning sessions, hear which campaign is stalling and which page won&rsquo;t do what they need, and ship the fix the same week. You will do the same with the sales and underwriting teams on the other end of the funnel. And you will be the person watching the numbers: traffic, conversion by source and page, form completion, quote turnaround, win rate. Not vanity metrics, but the ones that say whether the funnel is actually getting wider. A big part of the job is building AI agents and automation that take work off people&rsquo;s plates: agents that read inbound RFPs and turn them into structured records, that draft and route content, that automate the manual campaign and sales-ops processes people run by hand today. You will be the single technical point of responsibility for these services. You will partner with marketing, sales, and product stakeholders to turn their workflows into shipped software, set the architectural direction, own production, and represent the platform in cross-team discussions. 
How we build
At Curative, AI writes most of the code. Engineers direct it. We use agentic AI coding tools as the primary development surface. A senior engineer here routinely runs multiple agents in parallel: one implementing a feature, one resolving review comments, one chasing down a flaky test. The engineer&rsquo;s job is to set context, make the decisions the AI can&rsquo;t make, and keep the bar high on what ships. This is not a role for someone who wants to hand-roll every line. It is also not a role for someone who will accept whatever the AI produces. We are looking for the engineer in between: strong enough fundamentals to catch a wrong answer in a few seconds, disciplined enough to review every diff, and ambitious enough to drive several times the output of a traditional IC. On a surface where one half is the company&rsquo;s public front door and the other half decides what we charge an employer, that discipline matters more than usual. Strong systems and architecture thinking is important, as is product taste. This is a fully remote position. 
What you'll own<ul><li>
The top of the funnel. curative.com: a Next.js site on Vercel, statically generated from Strapi. Speed, 
SEO, accessibility, and uptime are yours.</li><li>
The bottom of the funnel. Our underwriting and group lifecycle platform, taking an inbound RFP through pricing to a closed deal. It is replacing Salesforce and MuleSoft.</li><li>
Ad targeting. Support marketing&rsquo;s paid campaigns: the audience data, tracking, and conversion signal the ad platforms run on, and whether what comes back can be trusted.</li><li>
AI leverage. The tooling, prompts, skills, and evals that let one engineer run a surface this size.</li><li>
Agents that do the work. We already run agents on the Claude API inside the underwriting platform.</li><li>
Extend them, and build new ones for RFP intake and the manual sales-ops grind.</li><li>
Conversion and experimentation. What we track, whether to trust it, what is running, and what it actually proved.</li><li>
Lead capture. Forms, validation, bot defense, routing, attribution. A lost or misattributed lead is a real dollar cost.</li><li>
Production. Infrastructure, deploys across Vercel and Kubernetes, observability, on-call, cost.</li><li>
Funnel metrics. Conversion by source, lead-to-RFP rate, time-to-quote, win and loss by segment and broker.</li><li>
Integrations. The connections to marketing and sales tooling this platform reads from and writes to.</li><li>
Stakeholders and roadmap. You are the engineer in the room with marketers, sales reps, and underwriters. You co-own the plan, push back when a request won&rsquo;t solve the real problem, and argue for what nobody has asked for yet.</li><li>
The domain. Within 90 days you understand the funnel well enough that every prompt you write is loaded with the right context.</li></ul> 
What we're looking for 
Foundational skills (non-negotiable)
You need these because you are the last line of defense on what the AI produces. The bar is not &ldquo;can write it from scratch in an interview.&rdquo; The bar is &ldquo;can read a 400-line AI-generated diff and spot the subtle bug in 90 seconds.&rdquo; On this surface, that bug is often a broken canonical tag, a tracking call that fires twice, or a rate that comes out quietly wrong.<ul><li>
5+ years shipping production software. Enough reps that you recognize bad code before you can articulate why.</li><li>
Real fluency in Python and TypeScript. Not &ldquo;I can read it,&rdquo; but fluent. You will direct work in both every day: Next.js and React at the top of the funnel, FastAPI and SQLAlchemy at the bottom. You should be equally unbothered by a typed codebase and by an older JavaScript one.</li><li>
You have owned a real public-facing website. Server-side rendering and static generation, CDN and cache behavior, Core Web Vitals, SEO fundamentals, redirects done right, accessibility. You know why a marketing site is a different engineering problem than an internal app, and you have the scars to prove it.</li><li>
Strong SQL and relational database fundamentals. You can read a query plan, spot an N+1, know when a migration is unsafe at scale, and reason carefully about the joins and aggregations that decide what a number ends up being.</li><li>
Analytics and experimentation literacy. You have instrumented a funnel, trusted the data enough to make a call with it, and been burned by bad instrumentation at least once. You understand what an A/B test can and cannot tell you, and you don&rsquo;t ship a result off a week of noise.</li><li>
A correctness mindset. You have built systems where the output has to add up, and you instinctively reach for the checks, invariants, and audit trails that prove a number is right rather than just plausible. You are comfortable with the idea that &ldquo;close enough&rdquo; is not close enough.</li><li>
Systems thinking. Can sketch a service&rsquo;s architecture on a whiteboard, identify the failure modes, and reason about blast radius, including the kind that is visible to the public within seconds.</li><li>
Production cloud experience (AWS, GCP, or equivalent). You have been on-call for something real.</li><li> 
Comfort working directly with non-technical stakeholders. You can run a 30-minute working session with a marketer or a sales rep, extract the real requirements, and leave them feeling heard, not bulldozed. You are as comfortable talking about campaign performance as about schema design.</li><li>
Product and design taste. You will ship things customers see. You should care how they look and read, and be able to hold a real conversation with a designer or brand lead.</li><li>
An interest in growth as a discipline. You don&rsquo;t need a marketing background, but you should be genuinely interested in the problem: how demand gets created, where it leaks, and the satisfaction of making a funnel measurably better.</li><li>
Sharp written communication. You will spend more time writing prompts, specs, and PR descriptions than writing code.</li></ul>
Note: Prior healthcare, insurance, or marketing-technology experience is not required. We care far more about your track record owning a customer-facing product surface and the systems behind it, in a role where the business could see the results. Any industry counts. What we do look for is real interest in the growth side of the problem. 
AI-first working style (also non-negotiable)<ul><li>
You already use Claude Code, Cursor, Codex, or equivalent as your primary development tool &mdash; not as a side autocomplete.</li><li>
You have opinions about how to structure prompts, when to split work into subagents, and how to keep AI output from drifting.</li><li>
You review every AI-generated diff. You do not merge on vibes.</li><li>
You treat the AI as a junior engineer with infinite throughput: high leverage, zero judgment, needs supervision.</li><li>
You enjoy building tooling that makes AI more effective on your codebase &mdash; skills, evals, fixtures, integrations.</li><li>
You see AI leverage as what makes it possible for one engineer to own a full product surface and stay close to users &mdash; not as a reason to stay heads-down in a terminal.</li></ul>
Strongly preferred<ul><li>
A portfolio of AI-assisted work &mdash; skills you wrote, agents you built, automations you shipped.</li><li>
Experience being the single owner of a non-trivial service in production.</li><li>
Experience with a headless CMS, and specifically with supporting a non-engineering team that owns its own content model and ships on its own schedule.</li><li>
Growth or marketing engineering experience: landing pages, lifecycle and campaign tooling, paid acquisition and ad-platform data, attribution, CRM and marketing-automation integration, SEO or content platform work.</li><li>
Experience with document and file ingestion at scale: parsing messy real-world spreadsheets, PDFs, and email attachments into structured data.</li><li>
Experience with sales or CRM systems, especially replacing one.</li></ul><div></div><div> 
Why this role</div>
Healthcare is one of the highest-leverage places software can make a difference, and growth is where that leverage compounds: every employer we win is a few hundred more people who get care they can actually afford to use. We are a company where a single engineer can own the entire path from a first page view to a signed group. That is a scope most companies split across four teams and a marketing- 
ops contractor. Your day might span unblocking a marketer on the one campaign page no existing component can 
build, digging into why organic traffic to a page collection dropped, shipping the component that makes that page type self-serve from then on, building an agent that reads an inbound RFP into a structured quote request, and setting the technical strategy for your platform. If you have been looking for a role where you own the full loop, from problem discovery through production, where the work has a number 
attached to it that you can watch move, and where AI-first isn&rsquo;t a buzzword but the actual way work gets done, this is it.<div></div><div> 
Perks &amp; Benefits</div><div></div><ul><li><div> 
Curative Health Plan (100% employer-covered medical premiums for you and 50% coverage for dependents on the base plan.)</div><ul><li><div>
$0 copays and $0 deductibles (with completion of our Baseline Visit )</div></li><li><div>
Preventive and primary care built in</div></li><li><div>
Mental health support (Rula, Televero, Two Chairs, Recovery Unplugged)</div></li><li><div>
One-on-one care navigation</div></li><li><div>
Chronic condition programs (diabetes, weight, hypertension)</div></li><li><div>
Maternity and family planning support</div></li><li><div>
24/7/365 Curative Telehealth</div></li><li><div>
Pharmacy benefits</div></li></ul></li><li><div>
Comprehensive dental and vision coverage</div></li><li><div>
Employer-provided life and disability coverage with additional supplemental options</div></li><li><div>
Flexible spending accounts</div></li><li><div>
Generous PTO policy plus 11 paid annual company holidays</div></li><li><div>
401K for full-time employees</div></li><li><div>
Generous Up to 8&ndash;12 weeks paid parental leave, based on role eligibility.</div></li></ul></div><div></div>

Software Engineer L2 - Growth Marketing Platform

True Classic

<div>True Classic is hiring a Data &amp; Analytics Engineer to partner in owning our data platform infrastructure and to serve as a key builder connecting our data warehouse to our AI, finance, and business stakeholder teams. This role will support core analytics engineering functions, ensuring clean, well-structured, and reliable data pipelines built to best practice standards.
This role is ideal for someone who is hands-on and technically rigorous, with a strong command of data engineering best practices &mdash; including pipeline design, data modeling, testing, and documentation &mdash; and can contribute meaningfully to a mid-build platform in a fast-paced, evolving environment.
All of True Classic&rsquo;s roles are global and omni-channel, leading designated areas of accountability across all product categories, countries, and sales and marketing channels. This role will have impact across DTC, retail, wholesale, marketplaces, and emerging channels, ensuring strategic alignment and executional rigor across the enterprise.<h2 class="jobSectionHeader">
Areas of Accountability</h2><h3 class="jobSectionHeader">
Extend &amp; Maintain the Data Platform</h3><ul><li>
Build and maintain dbt models following best practices for modularity, testing, documentation, and code quality</li><li>
Contribute to completion of open data model workstreams across inventory, media, and product functions</li><li>
Expand data source connectivity and pipeline coverage across marketing and fulfillment systems</li><li>
Maintain and improve ETL/ELT workflows via Daasity and BigQuery</li><li>
Help monitor and optimize cloud data infrastructure for cost and performance</li></ul><h3 class="jobSectionHeader">
Bridge Data to the Business</h3><ul><li>
Deploy and maintain Omni dashboards on top of BigQuery for cross-functional stakeholders</li><li>
Support business KPI tracking by structuring financial data for forecasting, cost modeling, and channel-level P&amp;L</li><li>
Contribute to predictive models for demand forecasting, inventory planning, and revenue projections</li><li>
Build and maintain the serving layer that the AI team queries &mdash; clean, modeled BigQuery tables in place of direct API calls</li></ul><h3 class="jobSectionHeader">
AI-Augmented Development</h3><ul><li>
Use AI coding tools (Claude Code, Cursor, Copilot) daily to write dbt models, debug pipelines, and accelerate development</li><li>
Collaborate with the AI team to ensure the warehouse serves their applications with clean inputs for automation, ML models, and real-time ops tools</li><li>
Identify opportunities where AI can automate data quality checks, anomaly detection, and pipeline monitoring</li></ul><h3 class="jobSectionHeader">
Cross Functional Collaboration</h3><ul><li>
Work with finance to ensure financial data structures support forecasting and P&amp;L reporting needs</li><li>
Partner with the AI team to ensure warehouse outputs support downstream automation and machine learning applications</li><li>
Work alongside merchandising, operations, and analytics stakeholders to translate business questions into reliable data models and visualizations</li></ul><h2 class="jobSectionHeader">
Qualifications</h2><ul><li>
4+ years of experience in data engineering or analytics engineering</li><li>
Strong understanding of data engineering best practices: pipeline design, data modeling, testing, and documentation</li><li>
Hands-on experience with dbt Cloud, Google BigQuery, and SaaS API pipeline development</li><li>
Strong SQL skills including joins, window functions, and CTEs</li><li>
Python proficiency for pipeline scripting, API integrations, and light modeling</li><li>
Familiarity with statistical modeling and predictive analytics (regression, time series)</li><li>
Comfortable working with non-technical stakeholders to translate business questions into data models and visualizations</li><li>
Proficiency with AI coding tools &mdash; daily use expected</li></ul><h2 class="jobSectionHeader">
Preferred Qualifications</h2><ul><li>
NetSuite or ERP experience</li><li>
Daasity, Shopify/Amazon data</li><li>
Marketing attribution platforms (Meta CAPI, Google Ads, Triple Whale),</li><li>
Omni/Looker, GitHub-based workflows</li></ul><h2 class="jobSectionHeader">
Workplace Arrangement</h2>
This role is on-site (5x week in office) based in Calabasas, CA.<h2 class="jobSectionHeader">
Compensation and Benefits</h2><h3 class="jobSectionHeader">
Compensation</h3><ul><li>
Competitive Salary + bonus</li></ul><h3 class="jobSectionHeader">
Time Off</h3><ul><li>
Unlimited PTO and sick time</li></ul><h3 class="jobSectionHeader">
Health &amp; Wellness</h3><ul><li>
Company-paid medical, dental, and vision insurance</li><li>
$100/month Health &amp; Wellness stipend</li><li>
Free Employee Assistance Program (EAP)</li></ul><h3 class="jobSectionHeader">
Work &amp; Growth Support</h3><ul><li>
$100/month Personal Workspace/Office stipend</li></ul><h3 class="jobSectionHeader">
Perks</h3><ul><li>
$1,000/year True Classic merchandise allowance</li><li>
401(k) plan with 3% company match</li></ul></div>

Data & Analytics Engineer

MGM Resorts International

<div>US, Nevada
The SHOW comes alive at MGM Resorts International
Have you ever wondered what it would be like to work in a place full of excitement, diversity, and entertainment? Are you enthusiastic about being a team player in one of the most fascinating industries in the world? At MGM Resorts, we seek individuals like YOU to create unique and show-stopping experiences for our guests.
THE JOB:
We are seeking a Staff Commercial Data Engineer to architect and elevate the Marketing and Revenue Management data platforms that power commercial decision-making across Gaming, Hospitality, Loyalty, and Marketing. This is a senior technical role responsible for defining the architectural direction of our Lakehouse ecosystem, ensuring reliability and governance standards, and mentoring engineering teams to build world-class data products. As the architectural owner of domain-wide data models and certified datasets, you will drive metric consistency, platform scalability, and business-aligned data solutions in close partnership with Data Science, Analytics, IT, and commercial leadership.
THE DAY-TO-DAY:<ul><li>
Serve as the architectural owner for Marketing and Revenue Management data models, metric definitions, and semantic consistency across commercial domains</li><li>
Design and maintain certified, curated datasets aligned to business logic and executive reporting standards</li><li>
Architect and optimize high-scale Lakehouse solutions for performance, governance, cost, and lineage</li><li>
Define conventions for partitioning, Z-ordering, file compaction, cluster sizing, and workload orchestration</li><li>
Build reusable ingestion, validation, and orchestration frameworks</li><li>
Establish observability standards including freshness SLAs, anomaly detection, and schema drift monitoring</li><li>
Implement automated quality gates, impact analysis, and self-healing workflows</li><li>
Own performance tuning strategies across batch, streaming, and high-volume analytics workloads</li><li>
Lead high-severity incident response and drive long-term remediation strategies</li><li>
Mentor engineers and influence cross-functional platform modernization initiatives</li></ul>
THE IDEAL CANDIDATE:<ul><li>
7+ years of prior relevant experience in data engineering, data platform, or analytics engineering roles</li><li>
5+ years of prior relevant hands-on experience in Databricks or equivalent Spark environments</li><li>
Expertise in Databricks and Lakehouse architecture</li><li>
Strong coding proficiency in Python, PySpark, and SQL</li><li>
Experience with Unity Catalog governance and permissions</li><li>
Proven implementation of data quality frameworks and observability standards</li><li>
Deep knowledge of Delta Lake internals and distributed data processing</li><li>
Experience defining SLAs, anomaly detection, and automated monitoring frameworks</li><li>
Expertise in performance tuning, workload isolation, partitioning strategies, and compute optimization</li><li>
Strong understanding of modeling patterns for analytics and operational systems</li><li>
Experience building production-grade pipelines, reusable libraries, modular code standards, version control, and automated testing</li><li>
Familiarity with Terraform, Airflow, and Databricks Workflows</li><li>
Domain experience in Gaming &amp; Hospitality Operations, Loyalty &amp; Customer Engagement, or Marketing &amp; Commercial Analytics preferred</li><li>
Ability to translate complex technical architecture into clear, business-aligned narratives</li></ul>
THE PERKS &amp; BENEFITS:<ul><li>
Prioritize your wellness, access programs crafted to nurture your mental and physical health.
</li><li>Enjoy unbeatable discounts on hotel stays, dining, retail, entertainment, and exclusive partner perks for travel, tech, and beyond!
</li><li>Savor delicious meals for free in our employee dining room.
</li><li>Park with ease&mdash;whether you're on or off shift, it's free!
</li><li>From healthcare to financial support and generous time-off options, we&rsquo;ve got you covered.
</li><li>Elevate your career with development programs, connect through networking events, and make a difference with community volunteer opportunities.</li></ul>
VIEW JOB DESCRIPTION:
https://mgmresorts.marketpayjobs.com/ShowJob.aspx?EntityID=2&amp;jobcode=12776
Pay Range:
The pay range for this role is:
$106,000.00 - $141,400.00
This range represents a good faith estimate of the salary range that MGM reasonably expects to pay for the position upon hire. The actual salary offer will take into account a wide range of factors, including location.
This position is eligible to participate in the Company&rsquo;s incentive plan.
Employees in this position are eligible to participate in medical, dental, vision, life insurance, 401(k) plans, and time off plans. Specific program offerings vary by eligibility factors such as geographic location, employment status, and union membership.
Are you ready to JOIN THE SHOW? Apply today!</div>

Staff Commercial Data Engineer

Bevi

<div><div>Bevi is on a mission to transform how beverages are delivered and consumed. Our connected beverage platform eliminates the need for single-use bottles and cans, making it easy, fun, and sustainable to stay hydrated. As the category leader in IoT-enabled beverage technology, we're building a future where Bevi machines are everywhere people live, work, and connect. We've raised over $160M in venture capital, serve thousands of customers across the US, Canada, UK and Ireland, and we've been rapidly growing year over year, saving over 1 billion bottles from waste. In addition to driving hypergrowth with our current product line, Bevi is heavily investing in new product development.</div>
Ever wonder which customers are about to churn before they do, or whether that marketing campaign actually moved the needle instead of just riding a coincidence? That's this role. Bevi's go-to-market (GTM) strategy is built at the intersection of Marketing and Sales: how we acquire new customers, and how we retain and grow existing accounts. We're looking for a GTM Data Scientist who can accelerate this function. On the marketing side, you'll measure the true incremental impact of our marketing spend across the full funnel - digital and offline alike, from paid social to events to BeviMobile - and build the leading indicators that keep the team grounded in what's working between deeper reads. On the customer side, you'll build the models that flag churn risk, surface expansion and upgrade opportunities, and identify look-alike prospects. You'll partner closely with Sales, Marketing, and RevOps stakeholders to turn data into a clear point of view on what to do next. We're looking for someone who spots what needs to get built before being asked, and drives it to done rather than waiting for direction.

Your Day to Day:
<ul>
<li>Build predictive models to identify churn risk and surface upgrade/expansion opportunity across our customer base to inform proactive outreach and account prioritization.</li>
<li>Build look-alike models to identify which prospects resemble our best customers, and own cohort reporting to track how customer segments perform over time.</li>
<li>Build marketing mix models (MMM) and incrementality analyses to measure the true impact of marketing spend across the full funnel - digital and offline, including events, BeviMobile, and social - and inform marketing budget optimization decisions.</li>
<li>Identify leading indicators - including proprietary composite metrics - for weekly reporting that give early signal on marketing performance in between full MMM reads.</li>
<li>Partner with the Marketing Analytics Engineer to inform the data structures your modeling work needs, and ensure the underlying data is accurate and well understood.</li>
<li>Translate data and analytics into clear insights and recommendations.</li>
</ul>
Who You Are:
<ul>
<li>2-4 years of professional experience in data science, applied statistics, or analytics, ideally with exposure to customer/revenue analytics or marketing measurement.</li>
<li>Hands-on experience building predictive/classification models (e.g., churn, propensity, look-alike) using techniques like logistic regression, gradient boosting, or similar.</li>
<li>Experience with causal inference or marketing measurement methods (e.g., MMM, incrementality testing, difference-in-differences) - comfortable incorporating both digital and offline channels (eg events, experiential) into your models, not just clean digital data.</li>
<li>Strong SQL and Python/R for querying, modeling, and analysis.</li>
<li>Experience with data visualization tools (e.g., Looker, PowerBI, Hex).</li>
<li>A creative problem solver, comfortable designing a measurement approach when the textbook experiment isn't available.</li>
<li>You use AI tools in your own workflow to move faster (e.g., exploratory analysis, code, documentation), and think about how to make your models and analyses accessible to AI tools as well as people.</li>
<li>A proactive, go-getter mindset - you notice what needs to get built before you're asked, and drive your own work to completion without needing to be chased.</li>
<li>Excellent communication skills - able to translate complex findings into clear, actionable recommendations for non-technical stakeholders.</li>
</ul>
#LI-CD1

#LI-HYBRID<div><h4 class="jobSectionHeader">
Benefits:</h4>
<ul><li>Comprehensive medical, dental and vision insurance plans with BlueCross BlueShield, 95% paid by employer</li>
<li>401(k) with company match</li>
<li>Flexible PTO plus 12 company holidays, and additional paid days for sick leave, etc</li>
<li>Generous fully paid parental leave for both birth parents and non-birth parents</li>
<li>Fully employer paid disability and life insurances</li>
<li>Wellness and fitness reimbursements</li>
<li>Monthly stipends for cell phone use and commuting costs</li>
<li>Onsite snacks, weekly catered lunch, and (of course) unlimited Bevi ... plus composting and terra-cycling, too</li>
<li>Happy hours, team-building events, bagel breakfasts, Values awards - and more.</li>
</ul>
A note on AI in our hiring process: We use AI to help synthesize interview notes and surface themes from feedback, keeping our process consistent as we grow. Every application is reviewed by a member of our team, and interviews may be recorded to support note-taking, just let us know if you'd prefer we don't. We'll also ask how you're learning and experimenting with AI in your work. Growing our AI fluency is something every Bevi team member is committed to and invested in.

Our commitment to responsible innovation is reflected in our partnership with the Mass AI Coalition, a collaboration that aligns with our dedication to community-driven progress and the future of technology.

We're passionate about supporting career growth and would love to be part of your professional journey. We also know that talent comes in many forms. We value individual accomplishments, specialized knowledge, and genuine passion over simply checking boxes on a requirements list. Whether you're a seasoned expert or an emerging talent, we're looking for people who are ready to build what's next. If any of our open positions interest you, we'd encourage you to apply! A member of the Bevi Talent team 'recruiting@bevi.co' will be reaching out about next steps if we would like to move forward.
<h4 class="jobSectionHeader">
Accommodations:</h4>

Bevi is committed to an inclusive hiring process and we aim to provide accommodations for persons with disabilities. If you need any accommodations for the application or throughout the interview process please contact recruiting@bevi.co.</div></div>

GTM Data Scientist

Expedia Group

<div>At Expedia Group, we help travelers explore the world, one journey at a time. As a global travel company powered by passionate people, trusted partnerships, and leading technology, we connect travelers, partners, and advertisers through our consumer brands, B2B network, and travel advertising business. 
 
Here, you'll do meaningful work that helps millions of people discover, book, and experience travel with more ease, confidence, and joy. Our five Behaviors-Traveler First, Think Big, Operate with Excellence, Ownership Mindset, and Succeed Together-help foster a supportive environment where people can grow their careers and have the flexibility, benefits, and support to do their best work. Join us and build for travelers everywhere.
Senior AI Engineer
Introduction to the Team
Expedia Group B2B empowers partners to deliver exceptional traveler and B2B experiences, driving growth for both our partners and the Expedia Group marketplace. We achieve this through competitive supply, a trusted advertising and travel media network, and effective affiliate solutions.
As a member of the B2B Supply Marketing Digital Operations Data team, you will drive strategic AI initiatives and intelligent automation efforts that power insights, personalized experiences, and next-generation marketing capabilities for our partners. This role sits within the Marketing Technology &amp; Digital Operations Engineering organization and is responsible for identifying, building, and scaling AI-powered solutions that improve productivity, automate workflows, unlock insights, and transform how marketing teams work. The ideal candidate combines strong technical expertise with curiosity, experimentation, and a deep understanding of how AI can fundamentally change business processes.
In this role, you will:
<ul><li>Own and drive the AI Engineering roadmap for Digital Operations, ensuring alignment with business objectives, customer needs, and organizational priorities.
</li><li>Lead end-to-end delivery of AI products and solutions &mdash; from ideation, business case development, and prototyping through production deployment, adoption, and continuous optimization.
</li><li>Design, develop, and deploy AI-enabled applications, copilots, intelligent agents, and workflow automation solutions that improve campaign execution, content creation, reporting, and operational workflows.
</li><li>Integrate LLMs, enterprise data platforms, APIs, and marketing technologies to create end-to-end AI experiences, including retrieval-augmented generation (RAG) applications and intelligent knowledge assistants.
</li><li>Partner with leaders across Marketing Operations, Web, Paid Media, CRM, Analytics, and Data Engineering to identify opportunities where AI can fundamentally transform workflows and decision-making.
</li><li>Build AI solutions that combine business, operational, and marketing data to generate actionable insights and move teams from reactive reporting toward proactive recommendations and automation.
</li><li>Develop reusable frameworks, playbooks, and accelerators that enable rapid experimentation and scaling of AI capabilities across Digital Operations and Marketing teams.
</li><li>Lead pilots and proof-of-concepts that demonstrate measurable business impact, and drive adoption of AI-first operating models through best practices and governance frameworks.
</li><li>Establish standards for AI development, testing, monitoring, governance, and responsible AI practices, partnering with Data Engineering to ensure trusted data foundations.
</li><li>Stay current with advancements in Generative AI, Agentic AI, and intelligent automation, contributing to the long-term AI roadmap for Marketing Technology and Digital Operations.
</li></ul>Experience and Qualifications
Required:
<ul><li>Bachelor's degree in Computer Science, Engineering, Data Science, Information Systems, or a related technical field; or equivalent related professional experience
</li><li>8+ years of software engineering, data engineering, or platform engineering experience
</li><li>3+ years of experience building AI, Generative AI, LLM, automation, or intelligent workflow solutions
</li><li>Proficiency in Python and modern software engineering practices
</li><li>Strong experience with AI frameworks and platforms such as OpenAI, Anthropic, LangChain, LangGraph, CrewAI, AWS Bedrock, Vertex AI, or similar technologies
</li><li>Proficiency with MLOps tools and platforms including AWS SageMaker, Bedrock, MLflow, Weights &amp; Biases, or Databricks
</li><li>Strong knowledge of cloud platforms (AWS preferred) with experience deploying scalable AI services, APIs, and microservices
</li><li>Proven track record of operationalizing AI/ML models in production environments with monitoring, observability, and performance optimization
</li><li>Experience integrating AI solutions with enterprise applications, APIs, cloud platforms, and data ecosystems
</li><li>Proficient communication skills with the ability to work both collaboratively and autonomously across technical and non-technical teams
</li></ul>Preferred:
<ul><li>Experience in marketing technology, including familiarity with CRM systems, marketing automation platforms, or personalization engines
</li><li>Familiarity with Salesforce, Adobe Experience Cloud, Marketo, Braze, or similar MarTech ecosystems
</li><li>Experience building enterprise AI copilots, assistants, or agent-based automation solutions
</li><li>Knowledge of AI governance, responsible AI practices, and enterprise AI adoption strategies
</li><li>Experience leading AI transformation initiatives with measurable business outcomes
</li></ul>#LI-AD1
The total cash range for this position in Austin is $184,500.00 to $258,000.00. Employees in this role have the potential to increase their pay up to $295,000.00, which is the top of the range, based on ongoing, demonstrated, and sustained performance in the role.&amp;#xa;The total cash range for this position in Chicago is $171,500.00 to $240,000.00. Employees in this role have the potential to increase their pay up to $274,500.00, which is the top of the range, based on ongoing, demonstrated, and sustained performance in the role. The total cash range for this position in Seattle is $184,500.00 to $258,000.00. Employees in this role have the potential to increase their pay up to $295,000.00, which is the top of the range, based on ongoing, demonstrated, and sustained performance in the role. 
 
Starting pay for this role will vary based on multiple factors, including location, available budget, and an individual&rsquo;s knowledge, skills, and experience. Pay ranges may be modified in the future. 
 
Benefits and perks
Expedia Group offers benefits and perks designed to support employees and their families, including medical, dental, and vision coverage, paid time off, an Employee Assistance Program, wellness and travel reimbursement, travel discounts, and International Airlines Travel Agent Network (IATAN) membership. Learn more about life at Expedia Group at https://careers.expediagroup.com/life . 
 
Accommodation requests
Expedia Group is committed to providing an inclusive and accessible recruiting experience. If you need an accommodation or adjustment due to a disability during the application or recruiting process, please submit a request at https://expedia.service-now.com/askeg?id=job_accommodation . 
 
About Expedia Group
Expedia Group includes three flagship consumer brands - Expedia, Hotels.com, and Vrbo - along with a leading B2B travel business and travel advertising offerings. Across our brands and business, we help travelers explore the world with confidence and ease. 
 
Important notice
Employment opportunities and job offers at Expedia Group will always come from Expedia Group's Talent Acquisition and hiring teams. Never share sensitive personal information unless you are confident of the recipient. Expedia Group does not extend job offers via email or messaging tools to individuals with whom we have not made prior contact. Our email domain is @expediagroup.com. The official place to find and apply for roles is https://careers.expediagroup.com/jobs/ . 
 
Equal Opportunity
Expedia is committed to creating an inclusive work environment with a diverse workforce. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age, veteran status, or any other characteristic protected by law. This employer participates in E-Verify. The employer will provide the Social Security Administration (SSA) and, if necessary, the Department of Homeland Security (DHS) with information from each new employee's I-9 to confirm work authorization.</div>

Senior AI Engineer

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